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Code of the paper "Question-Attentive Review-Level Recommendation Explanation", BigData'22

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Question-Attentive Review-Level Recommendation Explanation

This is the code for the paper:

Question-Attentive Review-Level Recommendation Explanation
Trung-Hoang Le and Hady W. Lauw
Presented at BigData 2022

If you find the code and data useful in your research, please cite:

@inproceedings{le2022question,
  title     = {Question-Attentive Review-Level Recommendation Explanation},
  author    = {Le, Trung-Hoang and Lauw, Hady W.},
  booktitle = {2022 IEEE International Conference on Big Data (Big Data)},
  year      = {2022},
  organization={IEEE}
}

How to run

Pretrained embeddings

We used Glove 6B tokens, 400K vocab, 100d vectors as pretrained word embeddings, which can be found at https://nlp.stanford.edu/projects/glove/.

pip install -r requirements.txt

Run QuestER experiment

CUDA_VISIBLE_DEVICES=0 python exp.py -i data/musical

Contact

Questions and discussion are welcome: lthoang.com

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Code of the paper "Question-Attentive Review-Level Recommendation Explanation", BigData'22

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